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README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+
+tags:
+- text-to-image
+- template:sd-lora
+- flux
+- lora
+- flux dev
+- image-generation
+- diffusers
+- photo
+pipeline_tag: text-to-image
+emoji: 🔜
+language:
+- en
+base_model: black-forest-labs/FLUX.1-dev
+
+instance_prompt: HST autochrome photo
+
+---
+
+# Soonr Flux HST IV: Historic Color for Dev (low step subtle experiment)
+A salvaged interim weight merge from a prematurely aborted training session of a Dev version of our antique color photography LoRA for [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-Dev). 
+See our [Schnell Version](/AlekseyCalvin/historic_color_schnell/tree/main) for more comprehensively trained iteration of this adapter.
+Trained by A.C.T. Soon® for 1000 steps on one A100 via Colab Pro, using an AI Toolkit notebook by Ostris. 
+While our Schnell version of this LoRA was trained on a relatively large archive, 135 images, for the Dev variation we used a smaller selection of 34 choice images, picked out of the same set.
+Unfortunately, the strict usage time-limit of Colab Pro kicked in and undercut the training of our Dev version just past the 1000 step mark (basically, we ran out of Colab credits at that very inopportune moment).
+This data set, used for both models, consists of a selection from a remarkable and unique collection of color photographs taken during the 1900s and 1910s by Sergey Prokudin-Gorsky, who traveled and photographed widely in those years while pioneering and perfecting implementations of an early three-color-composite photography technique. 
+We urge you to explore the work of Prokudin-Gorsky for yourself, at this wonderfully organized online [archive](https://prokudin-gorsky.org/), featuring many hundreds of high quality downloadable scans of composite color photo prints from the photographer's original glass plate negatives, available at the site alongside relatively recent restorations of a substantial portion of the images. The original glass-plate negatives are currently held at and administrated by the Library of Congress in Washington, DC, USA. 
+
+
+## Trigger words
+You should use `HST` to trigger the image generation.
+
+- base model: [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev)
+
+## Historical Note
+Prokudin-Gorsky's color photography technique would involve three photo-exposures, either simultaneous or sequential, using specialized color-spectrum filters (basically R.B.G.: red, blue, and green), rendering the same subject/shot onto glass plates covered with light-emulsive mixture.  Prokudin-Gorsky's focus on refining the developer and filter quality, in tandem with his incessant and wide-ranging experimentation, and his persistent usage of glass plates (unwieldly and increasingly old-fashioned, but elsewise extra reliable) ultimately led him to produce a color photography oeuvre of much greater fidelity and vividness than achieved by most of his contemporaries. 
+At the same time, the peculiarities of the photographer's method, coupled with his exceptionally hands-on execution thereof, would manifest in a range of idyosyncratic color, light, and motion artifacts common across the resulting prints. Seldom marring the image as a whole, and less grave than the weaknesses of some contemporenously emerging autochrome techniques, the warm color hazes and flares framing many of Prokudin-Gorsky's prints may be seen as a kind of ephemeral signature.
+Alongside some of the more subtle chromatic, textural, and (in some measure) figural characteristics of his work, these auras have imprinted themselves into this Flux LoRA, the fourth in our series of historical adapters for Flux. 
+
+
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+[Download](/AlekseyCalvin/historic_color_dev/tree/main) them in the Files & versions tab.
+
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('AlekseyCalvin/historic_color_dev')
+image = pipeline('HST style photo of a cat').images[0]
+image.save("my_image.png")
+```
+
+For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+